- Reading time: 4 minutes
- Price: Free download
- Published: 17th September 2026
- Word count: 926 words
- File format: Text
Why do you want to study this course or subject?
The part of computing I keep returning to is not the code itself but the gap between what a system does and what people actually need from it. My mother runs a mobile hairdressing round, and for years her bookings lived in a diary that travelled between the car and the kitchen table. I offered to put it on a spreadsheet, then discovered that the spreadsheet only worked if I understood how she really made decisions: which clients she would squeeze in, how far she would drive for one appointment, why she wanted last year's dates visible. The technical work took an evening. Learning the process took weeks of asking questions and being told I had misunderstood.
That experience is why information systems management appeals to me more than a purely software-focused degree. I want to study how organisations gather, store and use information, and how decisions about structure, security and cost shape whether a system is useful or quietly ignored. My Business A level introduced me to stakeholders, budgets and the reasons change programmes stall, and I found those ideas sat naturally alongside the databases and networks I was learning about in Computer Science. Reading around the subject, I have become interested in requirements gathering and in data quality, because both seem to be where projects succeed or fail long before anything is built.
I am also drawn to the breadth. Every sector I can think of, from local councils to warehouses, depends on information systems that someone has to specify, procure and improve. I would like to be one of the people who can talk to a developer and a finance manager in the same meeting and translate honestly between them, which means I need a proper grounding in both the technical and the organisational sides.
How have your qualifications and studies helped you to prepare?
I am studying A levels in Computer Science, Business and Geography, and each contributes something I expect to use on this course. Computer Science has given me practical skills in Python and SQL, and my coursework project was a small stock-tracking application with a relational database behind it. Designing the tables taught me more than the programming did: I normalised the data, then realised my original design could not record an item returned in a different condition from the one it was sold in, and had to rework the schema.
Business has been the subject that most changed how I think. Studying organisational structures, cash flow and the reasons firms resist change helped me see that a system is never only a technical object. Writing an assessment on how a retailer might manage a switch to a new supplier database made me think about training, downtime and who carries the risk. Geography contributes something less obvious but genuinely useful: handling messy secondary data, presenting figures fairly, and writing evaluations that acknowledge uncertainty. My fieldwork on footfall in the city centre involved collecting my own counts, and comparing them with published data taught me to be careful about how information is produced before it is used.
Alongside lessons I have worked through parts of an online database course to strengthen my SQL, particularly joins and aggregate queries, and I have been reading about how organisations approach information governance. I write notes after each chapter and try to apply ideas to systems I actually encounter, such as the stock terminal at work, which has helped me keep the reading concrete rather than abstract.
What else have you done to prepare outside of education, and why are these experiences useful?
On Saturdays I work on the returns desk of a clothing shop. It is ordinary retail work, but it has given me an unexpectedly close view of an information system under pressure. Returns without receipts, items whose barcodes have been mislabelled, and online orders that the till system shows as still in transit all have to be resolved while a customer waits. I have learned to follow the process carefully, to record exceptions clearly for the manager, and to notice which parts of the system create the most workarounds. Staff keep a handwritten notebook for one recurring problem, which strikes me as exactly the sort of signal a systems analyst should pay attention to.
At college I sit on the student societies committee, where five of us were asked to improve how new members sign up. Previously each society kept its own paper list, and names were regularly lost between the freshers' fair and the first meeting. My task was the form itself: I drafted the fields, tested it with two society leaders, and cut three questions nobody used. Another member handled publicity and a third liaised with staff about data protection, which is where I first encountered the practical side of holding student information. Sign-ups now arrive in one place, and society leaders tell me it saves them chasing people. It is a small change, but it worked because we spoke to the people using it first.
Outside college I play five-a-side football weekly, which is where I do most of my organising of other people, and I help my younger brother with his maths homework twice a week. Both have made me more patient at explaining things clearly, which I think matters in a field where the hardest part is often communication.
This example has 5,163 characters across the three answers. Use it for ideas and structure. Your own UCAS answers must fit within 4,000 characters in total, including spaces.
Why this example works — strengths and ways to improve
This is a thoughtful, well-evidenced statement built on ordinary experiences analysed with real insight into information systems. Motivation, coursework and work examples connect convincingly. The main problem is length: at 5,163 characters across the three answers, it must lose over 1,100 characters, so weaker paragraphs and generic closing claims should be cut rather than polished.
Subject motivation
The technical work took an evening. Learning the process took weeks
This contrast explains why you prefer information systems over pure software: the hard part was understanding how your mother makes decisions. The breadth paragraph is weaker, as translating between a developer and a finance manager is a familiar ambition and repeats the point without adding evidence.
Academic preparation
realised my original design could not record an item returned
Your schema rework shows real database understanding rather than a list of languages. Business and Geography links are specific, especially comparing footfall counts with published data. The reading on information governance is vague; naming one idea you tested against the stock terminal would make it count.
Evidence and reflection
Staff keep a handwritten notebook for one recurring problem
This is strong reflection: you read a workaround as a signal of system failure, which is genuinely analytical thinking. Similar insight appears in the requirements and data quality interests. The football and homework paragraph reverts to generic patience and communication claims and adds little.
Relevant experience
My task was the form itself: I drafted the fields
You are precise about your own role versus teammates', and the outcome is modest and believable. Retail returns work is excellent ordinary evidence. The returns desk appears in both the second and third answers, so keep the detailed treatment in one place.
Credibility and voice
It is ordinary retail work, but it has given me
Your voice is measured and honest, and you never overclaim professional authority. Phrases like being told you had misunderstood make the writing feel personal and plausible for your stage. Keep this restraint while cutting, rather than compressing into broad skill claims.
Structure and format
Each answer comfortably exceeds 350 characters, but the total of 5,163 breaks the 4,000-character limit. Since the library minimum is 3,500, aim for roughly 3,500 to 4,000. The breadth paragraph and the final hobbies paragraph are the clearest candidates for removal.
What you’ve done well
- The hairdressing spreadsheet story gives a concrete, personal origin for interest in requirements gathering rather than coding alone.
- The database schema rework and the handwritten notebook observation show genuine reflection on why systems succeed or fail.
How this draft could improve
- Cut about 1,200 characters, starting with the breadth paragraph and the football and homework paragraph, to fit within 4,000 characters.
- Remove the stock terminal mention from the second answer so retail work is not duplicated across answers.
- Replace the general information governance reading claim with one specific idea and how you applied it.